Author

Mohamed Mahmoud

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Open access Aug 2026

SETAS-VAD: Semantically Enriched Text-Aligned Scoring for Weakly Supervised Video Anomaly Detection

Under fully reproducible conditions on UCF-Crime and XD-Violence, SETAS-VAD achieves state-of-the-art temporal localization, with per-threshold gains increasing at stricter IoU values, indicating improved boundary precision rather than coarse detection sensitivity.

Mohamed Mahmoud, Mostafa Farouk Senussi, Mahmoud Abdalla et al. · Mathematics · 0 citations